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Deep Learning with H2O Hydrogen Torch by Yauhen Babakhin
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Abstract:
In this talk, we will start by discussing H2O Hydrogen Torch which is a no-code Deep Learning platform that has been recently launched. Then we will talk about Image Object Detection problem type in general and a particular car detection use-case. Using H2O Hydrogen Torch we will build a baseline car detection model, improve it with different techniques and deploy the best model obtained.
About Yauhen:
Yauhen holds a Master's Degree in Applied Data Analysis from the Belarusian State University. He has over 7 years of experience in Data Science having worked in the Banking, Gaming and eCommerce industries. Yauhen is a Kaggle competitions Grandmaster with a total of 10 gold medals in classic ML, NLP and CV competitions.
H2O Hydrogen Torch:
In this talk, we will start by discussing H2O Hydrogen Torch which is a no-code Deep Learning platform that has been recently launched. Then we will talk about Image Object Detection problem type in general and a particular car detection use-case. Using H2O Hydrogen Torch we will build a baseline car detection model, improve it with different techniques and deploy the best model obtained.
About Yauhen:
Yauhen holds a Master's Degree in Applied Data Analysis from the Belarusian State University. He has over 7 years of experience in Data Science having worked in the Banking, Gaming and eCommerce industries. Yauhen is a Kaggle competitions Grandmaster with a total of 10 gold medals in classic ML, NLP and CV competitions.
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